Digital twins: Representation, Replication, Reality, and Relational (4Rs). (January 2022)

• Record Type: Journal Article
• Authors: Hyre, Anna; Harris, Gregory; Osho, John; Pantelidakis, Minas; Mykoniatis, Konstantinos; Liu, Jia
• Is Part Of: Manufacturing letters. Volume 31(2022)
• Page Start: 20
• Page End: 23
• Publication Date: 2022-01
• Subjects: DT Digital Twin -- IoT Internet of Things -- 4Rs Representation, Replication, Reality, Relational -- AI Artificial Intelligence -- XR Extended Reality -- ML Machine Learning; Digital Twin -- Framework -- Manufacturing -- Industry 4.0; Manufacturing industries -- Periodicals; Production engineering -- Periodicals; Manufacturing industries; Periodicals; 670
• DOI: 10.1016/j.mfglet.2021.12.004
• Languages: English
• ISSNs: 2213-8463

Abstract

Abstract: Digital twins hold promise for operational improvement for manufacturers. The use of digital twins in industry requires a significant change in manufacturing practices but is crucial to implementing smart manufacturing technologies and Industry 4.0 principles. Unfortunately, there is no consensus definition of a digital twin which leads to confusion about its essential features and distinction from product models and simulations. This research addresses the confusion surrounding digital twins by creating a generalized framework for creating a digital twin of any system, providing structure to improve communications about the digital twin, and aligning the digital twin's capabilities with its intended purpose.